Correlation Filters for Unmanned Aerial Vehicle-Based Aerial Tracking: A Review and Experimental Evaluation

被引：59

作者：

Fu, Changhong ^{[1
]}

Li, Bowen ^{[1
]}

Ding, Fangqiang ^{[1
]}

Lin, Fuling ^{[1
]}

Lu, Geng ^{[2
,3
]}

机构：

[1] Tongji Univ, Sch Mech Engn, Shanghai 201804, Peoples R China

[2] Tsinghua Univ, Dept Automat, Beijing 10084, Peoples R China

[3] Tsinghua Univ, Dept Elect Engn, Beijing 10084, Peoples R China

来源：

IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE | 2022年 / 10卷 / 01期

基金：

上海市自然科学基金; 中国国家自然科学基金;

关键词：

Target tracking; Visualization; Real-time systems; Remote sensing; Unmanned aerial vehicles; Robustness; Object tracking; FOREST-FIRE DETECTION; VISUAL TRACKING; OBJECT TRACKING; UAV; SALIENCY;

D O I：

10.1109/MGRS.2021.3072992

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

Aerial tracking, which has received widespread attention and exhibited excellent performance, is one of the most active applications in the remote sensing field. In particular, an unmanned aerial vehicle (UAV)-based remote sensing system equipped with visual tracking has been widely used in aviation, navigation, agriculture, transportation, public security, and so on. The UAV-based aerial tracking platform has gradually developed from the research stage to the stage of practical application, establishing itself as one of the main aerial remote sensing technologies of the future. However, due to severe real-world situations, e.g., harsh external challenges, the vibration of a UAV's mechanical structure (especially under strong wind conditions), its maneuvering flight in complex environments, and its limited onboard computational resources as well as its accuracy, robustness, and high efficiency are all crucial for onboard tracking methods. © 2013 IEEE.

引用

页码：125 / 160

页数：36

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